Introduction to Structural Equation Modeling Using IBM SPSS Statistics and Amos
This comprehensive Second Edition offers readers a complete guide to carrying out research projects involving structural equation modeling (SEM). Updated to include extensive analysis of AMOS' graphical interface, a new chapter on latent curve models and detailed explanations of the structural equation modeling process, this Second Edition is the ideal guide for those new to the field.

 

1119609349
Introduction to Structural Equation Modeling Using IBM SPSS Statistics and Amos
This comprehensive Second Edition offers readers a complete guide to carrying out research projects involving structural equation modeling (SEM). Updated to include extensive analysis of AMOS' graphical interface, a new chapter on latent curve models and detailed explanations of the structural equation modeling process, this Second Edition is the ideal guide for those new to the field.

 

75.0 In Stock
Introduction to Structural Equation Modeling Using IBM SPSS Statistics and Amos

Introduction to Structural Equation Modeling Using IBM SPSS Statistics and Amos

by Niels J. Blunch
Introduction to Structural Equation Modeling Using IBM SPSS Statistics and Amos

Introduction to Structural Equation Modeling Using IBM SPSS Statistics and Amos

by Niels J. Blunch

Paperback(Second Edition)

$75.00 
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Overview

This comprehensive Second Edition offers readers a complete guide to carrying out research projects involving structural equation modeling (SEM). Updated to include extensive analysis of AMOS' graphical interface, a new chapter on latent curve models and detailed explanations of the structural equation modeling process, this Second Edition is the ideal guide for those new to the field.

 


Product Details

ISBN-13: 9781446249000
Publisher: SAGE Publications
Publication date: 04/05/2013
Edition description: Second Edition
Pages: 303
Product dimensions: 6.70(w) x 9.40(h) x 0.80(d)

About the Author

Niels J. Blunch was formerly in the Department of Marketing and Statistics at the University of Aarhus, Denmark.

Table of Contents

PART ONE: PREPARING YOURSELF AND YOUR DATA
Introduction
Measuring Your Variables: Reliability and Validity
Factor Analysis
PART TWO: THE THREE BASIC MODELS
Structural Equation Modeling with AMOS
Models with Only Manifest Variables
The Measurement Model in SEM: Confirmatory Factor Analysis
The General Model
PART THREE: ADVANCED MODELS AND TECHNIQUES
Mean Structures and Multi-Group Analysis
Incomplete and Non-Normal Data
Latent Curve Models
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